# SovietRepublic-MCP

> SovietRepublic-MCP — burnshall-ui-sovietrepublic-mcp. Use this tool when you need to monitor and analyze game data from Workers & Resources: Soviet Republic, such as population demographics and economic metrics. It solves the problem of manual data extraction by parsing autosave files and providing live game data through natural language queries. The tool takes game autosave files as input and outputs relevant data to Claude, enabling users to make informed decisions through intuitive queries.

Canonical page: https://skillsregistry.net/skills/burnshall-ui-sovietrepublic-mcp  
JSON: https://api.skillsregistry.net/v1/skills/burnshall-ui-sovietrepublic-mcp

## Description

An MCP server that exposes live game data from Workers & Resources: Soviet Republic to Claude by parsing game autosave files. It enables users to monitor population demographics, economic metrics, and trade history through natural language queries.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cym5pr1u8i)
- **Repository:** <https://github.com/burnshall-ui/SovietRepublic-MCP>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "burnshall-ui-sovietrepublic-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/burnshall-ui-sovietrepublic-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/burnshall-ui-sovietrepublic-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt